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--- |
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license: apache-2.0 |
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language: |
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- ar |
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tags: |
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- summarization |
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- AraBERT |
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- BERT |
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- BERT2BERT |
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- MSA |
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- Arabic Text Summarization |
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- Arabic News Title Generation |
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- Arabic Paraphrasing |
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- Summarization |
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- generated_from_trainer |
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- Transformers |
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- PyTorch |
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widget: |
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- text: >- |
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شهدت مدينة طرابلس، مساء أمس الأربعاء، احتجاجات شعبية وأعمال شغب لليوم |
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الثالث على التوالي، وذلك بسبب تردي الوضع المعيشي والاقتصادي. واندلعت |
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مواجهات عنيفة وعمليات كر وفر ما بين الجيش اللبناني والمحتجين استمرت |
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لساعات، إثر محاولة فتح الطرقات المقطوعة، ما أدى إلى إصابة العشرات من |
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الطرفين. |
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datasets: |
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- xlsum |
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model-index: |
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- name: arabartsummarization |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# AraBART-summ |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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## Validation Metrics |
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- Loss: 2.3417 |
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- Rouge1: 2.353 |
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- Rouge2: 1.103 |
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- RougeL: 1.176 |
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- RougeLsum: 1.521 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7555 | 1.0 | 9380 | 2.3417 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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